Refractory prolactinoma is the most common pituitary neuroendocrine tumor.Dopamine receptor agonists(DA)are the primary choice for drug treatment.Most patients with prolactinomas respond well to DA.However,a minority of prolactinomas patients still show resistance to DA.Although drug-resistant and refractory prolactinomas are rare in clinical practice,their treatment is extremely challenging.Even a combination of drug therapy,multiple surgeries,and radiotherapy may not yield satisfactory outcomes.Therefore,standardizing the diagnosis and treatment process and pathway for refractory prolactionmas and exploring more effective multidisciplinary collaborative treatment strategies are urgent problems to be solved.In the clinical management of refractory prolactinomas,it is often necessary to consider the patient's condition comprehensively,replace other types of DA,or consider surgery,radiotherapy,and immunotherapy,which requires multidisciplinary diagnosis and treatment.This review synthesizes the latest literature at home and abroad to systematically discuss the latest advances in drug therapy,surgery,and radiotherapy treatments for refractory prolactionmas,aiming to provide new ideas for basic research,clinical diagnosis and treatment.

Optical coherence tomography angiography(OCTA)is a non-invasive imaging technique that provides three-dimensional,informative vascular images.Numerous studies have shown that OCTA technology has unique advantages in biomarker quantification,diagnosis and monitoring,and has therefore been rapidly applied in experiments and clinical stud-ies.Image analysis tools can quickly and accurately quantify vascular and pathological features,greatly improving the value of OCTA imaging.In recent years,artificial intelligence(AI)has become the most powerful image analysis method,espe-cially deep learning-based image analysis,which can provide accurate measurements in various situations,including differ-ent diseases and eye regions.The Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Asso-ciation and the Ophthalmology Committee of International Association of Translational Medicine designated experts to sum-marize the application of AI in OCTA image analysis and disease diagnosis at home and abroad,including accurate detection of choroidal neovascularization and other lesions,accurate quantification of retinal perfusion,and reliable disease diagno-sis.They also analyzed the current challenges and development directions.After multiple rounds of discussion and revi-sions,they drafted the guidelines for the application of AI in OCTA image analysis and ocular disease diagnosis,aiming to provide new insights and references for clinical practice.

The accuracy of ultrasound examination and measurement is of great significance to diagnosing ocular disea-ses.The commonly used ocular ultrasonography includes amplitude(A)-mode ultrasound,brightness(B)-mode ultra-sound,ultrasound biomicroscopy(UBM),and color Doppler flow imaging(CDFI).A-mode ultrasound is mainly used to measure the distance between tissues with different echo intensities.B-mode ultrasound can visualize the two-dimensional structure of the eye and make quantitative measurements of the target point.UBM is an ultra-high-frequency two-dimen-sional imaging method,which can clearly display the structural characteristics of the anterior segment and measure the rele-vant parameters.It can also help quantitatively analyze the morphological changes of the angle and the anterior segment be-fore and after implantable collamer lens surgery.CDFI can quantitatively measure the parameters of blood vessels by apply-ing the Doppler effect on the basis of two-dimensional ultrasound,reflecting the changes of blood flow in the eye.To standardize the operations of different ultrasound examination methods,this guideline is formulated.This guideline mainly focuses on the standardized operation of ocular ultrasound instruments and their clinical application in ocular diseases,so as to provide guidance for the diagnosis and treatment of related ocular diseases.

Senile macular degeneration(SMD)is a complex,highly heritable,and multifactorial disease that leads to the aging-related change in the macular region,characterized by progressive retinal degeneration and progressive loss of vi-sion.About 200 million people worldwide suffer from SMD,and the incidence is increasing as the population ages.Artifi-cial intelligence(AI)technology has developed rapidly in recent years,and its application in the medical field has brought new possibilities for the development of the medical industry.AI-based qualitative and quantitative evaluation of retinal fluid can not only facilitate the diagnosis of neovascular SMD but also help adjust the treatment plan timely according to the effect,so as to provide more targeted treatment for patients.This guide summarizes the application of AI in the treatment of SMD,including the application progress,clinical application and future development of AI in retinal fluid monitoring,to pro-vide sufficient support for ophthalmologists to evaluate patient's conditions,design treatment plans and estimate prognosis.

Objective To develop an expert consensus on subcutaneous injection nursing for allergic asthma in children,standardize nursing practice to reduce the occurrence of related adverse reactions.Methods The clinical guideline,expert consensus,systematic review,evidence summary and original research on subcutaneous injection of monoclonal antibody drug for children with allergic asthma were comprehensively searched in domestic and foreign databases.The time limit for retrieval was from the establishment of databases until August 2023.Combined with clinical practice experience,the first draft of the consensus was formed.From December 2023 to February 2024,27 experts were invited to conduct 2 rounds of expert letter consultation,revise and improve the contents of the first draft,and expert demonstration was conducted,and finally a consensus final draft was formed.Results The effective recovery rate of the 2 rounds of letter consultation questionnaires was 100％;the authority coefficient of experts was 0.88;the judging basis coefficient was 0.93;the familiarity coefficient was 0.83.In the 2 rounds of correspondence,the Kendall concordant coefficients of expert opinions were 0.241 and 0.252,respectively(P＜0.001 for both).The consensus includes 6 parts,including personnel management,environmental layout,indications and contraindications,subcutaneous injection operation norms,identification and treatment of adverse reactions,and health education.Conclusion The consensus is strongly scientific and practical,and can provide guidance for nursing practice of subcutaneous injection of monoclonal antibodies in children with allergic asthma.

AIM: To quantitatively analyze the changes of the peripapillary capillary vessel density(ppVD)and the peripapillary retina nerve fiber layer(pRNFL)thickness in patients with monocular retinal vein occlusion(RVO)by optical coherence tomography angiography(OCTA), and further analyze the correlation between the ppVD and the pRNFL thickness.METHODS: Prospective observational research. A total of 43 patients diagnosed with monocular RVO were enrolled in the Department of Ophthalmology of the First Affiliated Hospital of Anhui University of Science and Technology from January to December 2021, among which 43 RVO eyes were regarded as the affected group and 43 fellow eyes were regarded as the contralateral group. At the same time, 21 healthy volunteers(42 eyes)matching the age and gender with RVO patients were regarded as the control group. The vessel density(VD)of inside optic disc, the whole VD of around disc and the ppVD and pRNFL thickness around the optic disc were measured by OCTA, including peripapillary superior(pS), peripapillary inferior(pI), temporal superior(TS), superior temporal(ST), superior nasal(SN), nasal superior(NS), nasal inferior(NI), inferior nasal(IN), inferior temporal(IT), and temporal inferior(TI). The characteristic changes of ppVD and pRNFL thickness and theirs correlation in the three groups were analyzed.RESULTS: The VD of inside optic disc, the whole VD of around disc and the ppVD in the pS, pI, TI, ST and SN side of the affected group were all significantly decreased compared with the control group(all P<0.05). But only VD of the inside disc in contralateral group was decreased(all P<0.05). Compared with the control group, the pRNFL thickness in the TS side of the affected group was increased, and the ST and IT side pRNFL thickness of the contralateral group were decreased(all P<0.01). The canonical correlation analysis revealed that ppVD and pRNFL thickness were provided with a strong correlation between the two comprehensive variables. There were 2 pairs of canonical correlation variables in affected group and contralateral group, and 3 pairs of canonical correlation variables in control group.CONCLUSION: The VD in the optic disc area of the affected group was decreased in patients with monocular RVO, and the pRNFL thickness in ST and IT side of the contralateral group was thinner. There was a strong positive correlation between ppVD and pRNFL thickness as a whole. The changes of ppVD and pRNFL thickness in the optic disc area were mostly manifested in the superior quadrant of the affected group and the inferior quadrant of the contralateral group.

Child ; Humans ; Manometry ; Esophagus/physiology*

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China

Background: and Purpose The relationships among interleukin (IL)-10 levels, anxiety, and cognitive status after stroke remain controversial. We aimed to determine the associations of serum IL-10 levels with poststroke anxiety (PSA) and poststroke cognitive impairment (PSCI). Methods: We recruited 350 patients with stroke, of whom only 151 completed a 1-month follow-up assessment. The Mini Mental State Examination (MMSE) and Hamilton Anxiety Scale (HAMA) were used to assess the cognitive status and anxiety, respectively. Serum IL-10 levels were measured within 24 hours of admission. Results: IL-10 levels were significantly lower in the PSA group than in the non-PSA group, and they were negatively associated with HAMA scores (r=-0.371, p<0.001). After adjusting for all potential confounders, IL-10 levels remained an independent predictor of PSA (odds ratio=0.471, 95% confidence interval=0.237–0.936, p=0.032). IL-10 levels were strongly correlated with behavior during interviews, psychic anxiety, and somatic anxiety. Patients without PSCI had higher IL-10 levels were higher in non-PSCI patients than in PSCI patients, and they were positively associated with MMSE scores in the bivariate correlation analysis (r=0.169, p=0.038), and also with memory capacity, naming ability, and copying capacity.However, IL-10 did not predict PSCI in the univariable or multivariable logistic regression. Conclusions Low IL-10 levels were associated with increased risks of PSA and PSCI at a 1-month follow-up after stroke. Serum IL-10 levels may therefore be helpful in predicting PSA.